Uncorrelated projection discriminant analysis and its application to face image feature extraction

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 17, Issue 8, 2003, Pages 1325-1347

  Yang, Jian ^a,b   Yang, Jing Yu ^a   Frangi, Alejandro F ^b   Zhang, David ^c  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF ZARAGOZA   (Spain)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Eigenfaces; Face recognition; Feature extraction; Fisherfaces; Linear discriminant analysis (LDA)

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; FACE RECOGNITION; IMAGE ANALYSIS; MATRIX ALGEBRA;

EIGENFACES; FISHERFACES; LINEAR DISCRIMINANT ANALYSIS (LDA);

FEATURE EXTRACTION;

EID: 0842267457     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001403002903     Document Type: Article

References (31)

1. P. N. Belhumeur, J. P. Hespanhaand D. J. Kriengman, "Eigenfaces versus Fisherfaces: recognition using class specific linear projection," IEEE Trans. Patt. Anal. Mach. Intell. 19, 7 (1997) 711-720.
2. R. Brunelli and T. Poggio, "Face recognition: features versus templates," IEEE Trans. Patt. Anal. Mach. Intell. 15, 10 (1993) 1042-1053.
3. R. Chellappa, C. Wilson and S. Sirohey, "Human and machine recognition of faces: a survey," Proc. IEEE 83, 5 (1995) 705-740.
4. L.-F. Chen, H.-Y. Mark Liao, M.-T, Ko et al., "A new LDA-based face recognition system which can solve the small sample size problem," Patt. Recogn. 33, 10 (2000) 1713-1726.
5. L.-F. Chen, H.-Y. Mark Liao, J.-C. Lin et al., "Why recognition in statistics-based face recognition system should based on pure face portion: a probabilistic decision-based proof," Patt. Recogn. 34 (2001) 317-324.
6. I. Craw, N. Costen, T. Kato et al., "How should we represent faces for automatic recognition?" IEEE Trans. Patt. Anal. Mach. Intell. 21, 8 (1999) 725-736.
7. R. Duda and P. Hart, Pattern Classification and Scene Analysis, Wiley, NY, 1973.
8. K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, NY, 1990.
9. A. S. Georghiades, P. N. Belhumeur and D. J. Kriengman, "From few to many: illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Patt. Anal. Mach. Intell. 23, 6 (2001) 643-660.
10. M. A. Grudin, "On internal representations in face recognition systems," Patt. Recogn. 33, 8 (2000) 1161-1177.
11. Y. F. Guo, T. T. Shu, J. Y. Yang et al., "Feature extraction method based on the generalized Fisher discriminant criterion and face recognition," Patt. Anal. Appl. 4, 1 (2001) 61-66.
12. J. Yang, J. Y. Yang and Z. Jin, "An optimal discriminant feature extraction method and its application in image recognition," J. Comput. Res. Dev. 48, 11 (2001) 1331-1336 (in Chinese).
13. Z. Jin, J. Y. Yang, Z. S. Hu and Z. Lou, "Face recognition based on uncorrelated discriminant transformation," Patt. Recogn. 33, 7 (2001) 1405-1416.
14. Z. Jin, J. Y. Yang, Z. M. Tang and Z. S. Hu, "A theorem on uncorrelated optimal discriminant vectors," Patt. Recogn. 34, 10 (2001) 2041-2047.
15. M. Kirby and L. Sirovich, "Application of the KL procedure for the characterization of human faces," IEEE Trans. Patt. Anal. Mach. Intell. 12, 1 (1990) 103-108.
16. P. Lancaster and M. Tismenetsky, The Theory of Matrices, 2nd edition, Academic Press, INC. Orlando, Florida, 1985.
17. K. Liu, Y.-Q. Cheng and J.-Y. Yang, "An efficient algorithm for Foley-Sammon optimal set of discriminant vectors by algebraic method," Int. J. Pattern Recognition and Artificial Intelligence 6, 5 (1992) 817-829.
18. K. Liu, Y.-Q. Cheng, J.-Y. Yang et al., "Algebraic feature extraction for image recognition based on an optimal discriminant criterion," Patt. Recogn. 26, 6 (1993) 903-911.
19. C. J. Liu and H. Wechsler, "Evolutionary pursuit and its application to face recognition," IEEE Trans. Patt. Anal Mach. Intell. 22, 6 (2000) 570-582.
20. C. J. Liu and H. Wechsler, "A shape- and texture-based enhanced Fisher classifier for face recognition," IEEE Trans. Imag. Process. 10, 4 (2001) 598-608.
21. A. Pentland, B. Moghaddam and T. Starner, "View-based and modular eigenspaces for face recognition," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1994, pp. 84-91.
22. A. Pentland, "Looking at people: sensing for ubiquitous and wearable computing," IEEE Trans. Patt. Anal. Mach. Intell. 22, 1 (2000) 107-119.
23. B. D. Ripley, Pattern Recognition and Neural Networks, Cambridge University Press, Cambridge, 1996, pp. 288-305.
24. A. Samil and P. Iyengar, "Automatic recognition and analysis of human faces and facial expressions: a survey," Patt. Recogn. 25 (1992) 65-77.
25. D. L. Swets and J. Weng, "Using discriminant eigenfeatures for image retrieval," IEEE Trans. Patt. Anal. Mach. Intell. 18, 8 (1996) 831-836.
26. Q. Tian et al., "Image classification by the Foley-Sammon transform," Opt. Engin. 25, 7 (1986) 834-839.
27. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cogn. Neurosci. 3, 1 (1991) 71-86.
28. L. Wiskott, J. Fellous, N. Kruger et al., "Face recognition by elastic bunch graph matching," IEEE Trans. Patt. Anal. Mach. Intell. 19, 7 (1997) 775-779.
29. J. Yang and J. Y. Yang, "Optimal FLD algorithm for facial feature extraction," SPIE Proc. Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, October, 2001, Vol. 4572, pp. 438-444.
30. J. Yang, J.-Y. Yang and D. Zhang, "What's wrong with the Fisher criterion?" Patt. Recogn. 35, 11 (2002) 2665-2668.
31. J. Yang and J. Y. Yang, "A generalized K-L expansion method which can deal with small sample size and high-dimensional problem," Patt. Anal. Appl. 6, 1 (2003) 47-54.